import plotly.offline as pyo

from plotly.graph_objs import *

import chart_studio.plotly as py

import pandas as pd
from pandas import DataFrame

pyo.offline.init_notebook_mode()

baserate = pd.read_csv(r"../Data/BoEBaseRate.csv")
baserate.drop_duplicates(subset="VALUE", inplace=True)
baserate = baserate.tail(10)
baserate

	Unnamed: 0	VALUE	DATE
6767	6767	4.50	2001-10-04
6792	6792	4.00	2001-11-08
7105	7105	3.75	2003-02-06
7211	7211	3.50	2003-07-10
7419	7419	4.25	2004-05-06
8560	8560	3.00	2008-11-06
8580	8580	2.00	2008-12-04
8602	8602	1.50	2009-01-08
8622	8622	1.00	2009-02-05
8642	8642	0.50	2009-03-05

baseRateTrace = {'type' : 'scatter',
                 'x' : baserate['DATE'],
                 'y' : baserate['VALUE'],
                'mode' : 'lines+markers',
                 'line' : {'shape' : 'hv'},
                'name' : 'BoE Base Rate'}

layout = {'title' : 'Bank of England Base Rate, 2001-2009',
         'xaxis' : {'title' : 'Date'},
         'yaxis' : {'title' : 'Base Rate (%)'}}

data = Data([baseRateTrace])

fig = Figure(data = data, layout = layout)

pyo.iplot(fig)

def updateLine(val):
    baseRateTrace['line'].update({'shape' : val})
    data = Data([baseRateTrace])
    fig = Figure(data=data, layout=layout)
    pyo.iplot(fig)

updateLine('linear')

updateLine('vh')

updateLine('hvh')

updateLine('vhv')